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Huggingface Jobs in Illinois (NOW HIRING)

Ovative group

Data & Software Engineer

Chicago, IL

$118K - $141K/yr

Experience with AI/ML frameworks or APIs (e.g., OpenAI,HuggingFace,LangChain, or similar) Experience working with data warehouses and big data tools (e.g.,BigQuery, Databricks) Experience working ...

JLL

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Deep understanding of Gen AI frameworks (e.g., OpenAI, Google Vertex AI, Azure OpenAI, HuggingFace Transformers). * Strong programming skills in Python, and familiarity with modern ML/AI libraries ...

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$7

$23

$54

How much do huggingface jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for huggingface in Illinois is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.29 and $27.00 per hour, depending on experience, location, and employer.

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What are the most commonly searched types of Huggingface jobs in Illinois?

The most popular types of Huggingface jobs in Illinois are:

What are popular job titles related to Huggingface jobs in Illinois?

For Huggingface jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Huggingface jobs in Illinois look for?

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Huggingface jobs near you
Infographic showing various Huggingface job openings in Illinois as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $48,078 per year, or $23.1 per hour.

Full Stack .NET Architect - GenAI Experience (Remote)

1026 Avanade Inc. Company

Chicago, IL • On-site

$130 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Overview

This Full‑Stack Engineering Architect role focuses on designing and implementing advanced Generative AI applications. The position is open to candidates located anywhere in the United States, with the option to work remotely or from one of our regional offices.

Responsibilities
  • Architect, design, and oversee the development of scalable, secure, and robust full‑stack solutions that integrate GenAI capabilities.
  • Guide cross‑functional engineering teams in building end‑to‑end web and mobile applications using modern frameworks and cloud services.
  • Lead the integration of state‑of‑the‑art GenAI models (e.g., LLMs, transformers, generative image and text models) into core business products.
  • Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user‑centric AI experiences.
  • Establish and enforce software architecture best practices, coding standards, and agile development methodologies.
  • Evaluate emerging AI technologies and provide strategic recommendations for adoption and implementation.
  • Mentor engineers, fostering technical excellence and continuous learning within the team.
  • Ensure solutions comply with security, privacy, and regulatory requirements relevant to GenAI applications.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in full‑stack development, .NET, cloud computing (Azure), and modern DevOps practices.
  • Experience with Microsoft Azure OpenAI Service and deploying and scaling GenAI models (OpenAI, HuggingFace, custom LLMs).
  • Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real‑time data processing.
  • Track record of leading engineering teams and delivering complex projects from conception to production.
  • Excellent problem‑solving, communication, and leadership skills.
  • Passion for innovation and staying ahead of GenAI trends.
Preferred Skills
  • Knowledge of agentic AI concepts, frameworks, and practical applications.
  • Experience with prompt engineering, fine‑tuning, and deploying custom GenAI models.
  • Knowledge of ethical AI practices, responsible AI frameworks, and related governance.
  • Background in building AI‑powered chatbots, recommendation engines, or creative content tools.
  • Familiarity with MLOps, model monitoring, and performance optimization.
Benefits
  • Medical, dental, and vision coverage
  • Life and long‑term disability coverage
  • 401(k) plan with company match
  • Bonus opportunities
  • Paid holidays and paid time off
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